multiobjectiveMDP: Solution Methods for Multi-Objective Markov Decision Processes

Compendium of the most representative algorithms in print—vector-valued dynamic programming, linear programming, policy iteration, the weighting factor approach—for solving multi-objective Markov decision processes, with or without reward discount, over a finite or infinite horizon. Mifrani, A. (2024) <doi:10.1007/s10479-024-06439-x>; Mifrani, A. & Noll, D. <doi:10.48550/arXiv.2502.13697>; Wakuta, K. (1995) <doi:10.1016/0304-4149(94)00064-Z>.

Version:	1.0.0
Imports:	dplyr, linprog, lintools, nsga2R, pracma, prodlim, stats
Suggests:	knitr, rmarkdown
Published:	2026-03-06
DOI:	10.32614/CRAN.package.multiobjectiveMDP (may not be active yet)
Author:	Anas Mifrani [aut, cre, cph]
Maintainer:	Anas Mifrani <anas.mifrani at math.univ-toulouse.fr>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	multiobjectiveMDP results

Documentation:

Reference manual:	multiobjectiveMDP.html , multiobjectiveMDP.pdf
Vignettes:	Introduction to multiobjectiveMDP (source, R code)

Downloads:

Package source:	multiobjectiveMDP_1.0.0.tar.gz
Windows binaries:	r-devel: multiobjectiveMDP_1.0.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): multiobjectiveMDP_1.0.0.tgz, r-oldrel (arm64): multiobjectiveMDP_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multiobjectiveMDP to link to this page.